Essay verification
AI essay detector — check student essays for ChatGPT and LLM writing.
Paste essay text to generate a LLM-detection report with clear, reusable signals.
Last reviewed 2026-05-10 · See methodology
About this check
What AI Essay Detector actually does.
Essay-specific entry point for educators, editors, and reviewers. AI-detection-as-grading is unsafe — but as a triage tool that prompts deeper conversation with a student or contributor, it has a place. The engine surfaces the patterns and lets you make the call.
How it works
- 1Sentence-pattern regularity catches uniformly balanced clauses common in LLM prose.
- 2Generic-transition scoring flags 'in conclusion', 'furthermore', and similar connectors at high density.
- 3Claim-specificity weighs how often the essay uses concrete names, dates, and references.
When to use it
Real situations this page is built for.
- A submitted essay is suspiciously polished for the author's known voice.
- A draft matches a familiar LLM output structure exactly.
- A peer-review reviewer wants a quick second opinion.
Limitations
Strong human writers — especially academic English — score similarly to LLMs. Never use this as the sole basis for an academic-integrity decision.
Related checks
Detection guides
Related reading from the checkreal.ai blog.
Practical guides that go deeper into the signals this detector looks for.
Honest scope
What this detector does not do.
Naming the gaps explicitly so the score is interpreted in context.
- Plagiarism against published sources (use a plagiarism checker for that).
- Whether claims in the text are factually true.
- Authorship attribution to a specific human writer.
FAQ
AI Essay Detector questions
Can I rely on this to fail a student?
No. AI-text detectors are unreliable as standalone evidence and should never be used that way.
What about Turnitin-style plagiarism checks?
Different problem. This page only checks AI-likelihood, not text reuse.
Does it work on creative writing?
It tries, but creative writing legitimately uses many of the same surface patterns as LLM output.